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ton
2024-10-07 10:13:40 +07:00
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.CondaPkg/env/Lib/site-packages/skimage/graph/tests/test_anisotropy.py vendored Normal file
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import numpy as np
import skimage.graph.mcp as mcp
from skimage._shared.testing import assert_array_equal
a = np.ones((8, 8), dtype=np.float32)
horizontal_ramp = np.array(
[
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
[
0.0,
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
],
]
)
vertical_ramp = np.array(
[
[
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
],
[
1.0,
1.0,
1.0,
1.0,
1.0,
1.0,
1.0,
1.0,
],
[
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
],
[
3.0,
3.0,
3.0,
3.0,
3.0,
3.0,
3.0,
3.0,
],
[
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
4.0,
],
[
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
5.0,
],
[
6.0,
6.0,
6.0,
6.0,
6.0,
6.0,
6.0,
6.0,
],
[
7.0,
7.0,
7.0,
7.0,
7.0,
7.0,
7.0,
7.0,
],
]
)
def test_anisotropy():
# Create seeds; vertical seeds create a horizonral ramp
seeds_for_horizontal = [(i, 0) for i in range(8)]
seeds_for_vertcal = [(0, i) for i in range(8)]
for sy in range(1, 5):
for sx in range(1, 5):
sampling = sy, sx
# Trace horizontally
m1 = mcp.MCP_Geometric(a, sampling=sampling, fully_connected=True)
costs1, traceback = m1.find_costs(seeds_for_horizontal)
# Trace vertically
m2 = mcp.MCP_Geometric(a, sampling=sampling, fully_connected=True)
costs2, traceback = m2.find_costs(seeds_for_vertcal)
# Check
assert_array_equal(costs1, horizontal_ramp * sx)
assert_array_equal(costs2, vertical_ramp * sy)